Lead Data Architect: Data Strategy & Cloud Integration

Humana; Boston (MA); On-site; USD 129,000 - 178,000; Full time

Benefits offered by this job

Medical benefits

401(k) retirement plan

Paid time off

Job summary

Humana is seeking a Lead Data Architect to design and align data environments, including data modeling, database architecture, metadata, and repositories. You will translate business needs into scalable, long-term solutions and advise executives on data strategy across Corporate Services.

Location flexibility includes occasional in-office meetings near hub sites, with a focus on data governance and big data analytics capabilities.

Qualifications

• Bachelor's Degree
• 5 or more years of data architecture/engineering experience
• Proficient skills related to Data Modeling, Database Systems, and Data Integration
• Experience with operational data integration
• Contribute to the creation of the Data Governance standards
• Experience with big data integration and analytics

Responsibilities

• Develop blueprints for all data repositories and evaluate hardware/software platforms.
• Translate business needs into long-term data architecture solutions.
• Define and create dimensional database schemas and review data models and metadata repositories.
• Advise executives on functional strategies and data governance.
• Support corporate services departments (Finance, HR, Risk, Compliance, or Legal).

Skills

Data Modeling

Database Systems

Data Integration

Operational data integration

Data Governance

Big data analytics

Cloud platforms

SaaS data architecture

AI Frameworks

Corporate services domains

Education

Bachelor's Degree

Master's Degree

Tools

Cloud platforms

Job description

Humana is seeking a Lead Data Architect to design and align data environments, including data modeling, database architecture, metadata, and repositories. You will translate business needs into scalable, long-term solutions and advise executives on data strategy across Corporate Services.

Location flexibility includes occasional in-office meetings near hub sites, with a focus on data governance and big data analytics capabilities.